Skip to main content
USENIX
  • Conferences
  • Students
Sign in
  • Home
  • Attend
    • Registration Information
    • Registration Discounts
    • Venue, Hotel, and Travel
    • Students and Grants
  • Activities
    • Birds-of-a-Feather Sessions
    • Poster Session and Happy Hour
  • Program
    • At a Glance
    • Technical Sessions
  • Sponsorship
  • Participate
    • Instructions for Participants
    • Call for Papers
    • Call for Posters
  • About
    • Organizers
    • Help Promote
    • Questions
    • Past Symposia
  • Home
  • Attend
  • Activities
  • Program
  • Sponsorship
  • Participate
  • About

sponsors

Silver Sponsor
Silver Sponsor
Silver Sponsor
Silver Sponsor
Bronze Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Media Sponsor
Industry Partner

help promote

NSDI '16 button

Get more
Help Promote graphics!

connect with us


  •  Twitter
  •  Facebook
  •  LinkedIn
  •  Google+
  •  YouTube

twitter

Tweets by @usenix

usenix conference policies

  • Event Code of Conduct
  • Conference Network Policy
  • Statement on Environmental Responsibility Policy

You are here

Home » AnonRep: Towards Tracking-Resistant Anonymous Reputation
Tweet

connect with us

AnonRep: Towards Tracking-Resistant Anonymous Reputation

Authors: 

Ennan Zhai, Yale University; David Isaac Wolinsky, Facebook, Inc.; Ruichuan Chen, Nokia Bell Labs; Ewa Syta, Yale University; Chao Teng, Facebook, Inc.; Bryan Ford, École Polytechnique Fédérale de Lausanne (EPFL)

Abstract: 

Reputation systems help users evaluate information quality and incentivize civilized behavior, often by tallying feedback from other users such as "likes" or votes and linking these scores to a user’s long-term identity. This identity linkage enables user tracking, however, and appears at odds with strong privacy or anonymity. This paper presents AnonRep, a practical anonymous reputation system offering the benefits of reputation without enabling long-term tracking. AnonRep users anonymously post messages, which they can verifiably tag with their reputation scores without leaking sensitive information. AnonRep reliably tallies other users’ feedback (e.g., likes or votes) without revealing the user’s identity or exact score to anyone, while maintaining security against score tampering or duplicate feedback. A working prototype demonstrates that AnonRep scales linearly with the number of participating users. Experiments show that the latency for a user to generate anonymous feedback is less than ten seconds in a 10,000-user anonymity group

Ennan Zhai, Yale University

David Isaac Wolinsky, Facebook, Inc.

Ruichuan Chen, Nokia Bell Labs

Ewa Syta, Yale University

Chao Teng, Facebook, Inc.

Bryan Ford, École Polytechnique Fédérale de Lausanne (EPFL)

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {194974,
author = {Ennan Zhai and David Isaac Wolinsky and Ruichuan Chen and Ewa Syta and Chao Teng and Bryan Ford},
title = {AnonRep: Towards Tracking-Resistant Anonymous Reputation},
booktitle = {13th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 16)},
year = {2016},
isbn = {978-1-931971-29-4},
address = {Santa Clara, CA},
pages = {583--596},
url = {https://www.usenix.org/conference/nsdi16/technical-sessions/presentation/zhai},
publisher = {{USENIX} Association},
month = mar,
}
Download
Zhai PDF
View the slides

Presentation Audio

MP3 Download

Download Audio

  • Log in or    Register to post comments

Silver Sponsors

Bronze Sponsors

Media Sponsors & Industry Partners

Open Access Publishing Partner

© USENIX

  • Privacy Policy
  • Conference Policies
  • Contact Us